Tests for Discrete Dependent Variable and Continuous Independent
Difference between Dependent Variable and Independent Variable
The difference between dependent and independent variables is that the dependent variable changes with changes in the independent variable. Therefore, if variations are observed in a variable in correlation with another variable, they are categorized into dependent and independent variables in research, psychology, or experimental investigations. Hence, the independent variable is manipulated and controlled in experiments to explore its effects on the dependent variable.
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Table of contents
- Difference between Dependent Variable and Independent Variable
- Comparative Table
- What is a Dependent Variable?
- What is an Independent Variable?
- Dependent Variable vs Independent Variable – Infographics
- Similarities
- Recommended Articles
- The dependent variable vs independent variable in research or psychology research portrays the prime difference between a dependent and independent variable significant in the experimental investigations.
- The independent variable is not affected positively or negatively in response to changes in other variables in the study.
- The dependent variable depends on the independent variable. Therefore, a change in the independent variable can cause a change in the dependent variable.
- Researchers manipulate and control independent variables to study how the dependent variables react to them. Essentially, the independent variable is the cause, and the dependent variable manifests the effect.
Comparative Table
| Particulars | Dependent Variable | Independent Variable |
|---|---|---|
| Definition | It refers to the variables dependent on other variables in the study and changes with updates in the other variables. | It refers to the standalone variables that do not depend on other variables in the study. |
| Purpose | It is explored in the study. Changes or effects are measured by observing the dependent variables. | Experimental independent variables are subjected to manipulations in the study to create effects on the dependent variables. |
| Variation | Unintentional changes can happen to the dependent variables in reaction to the independent variables. | Variables that the researcher can control. Researchers intentionally create variations. |
| Applications | To study the responses to the changes produced in other variables. It exhibits the outcomes that are required to measure in experiments. | It can explain outputs and predict the values of dependent variables. In addition, it showcases the causes behind any changes or results. |
| Examples | Exam score, plant growth, and weight loss. | Time spent studying, sunlight for plants, and exercise. |
| Synonyms | The response variable, Predicted variable, Measured variable, Explained variable, Experimental variable, Responding variable, Outcome variable, and output variable. | Predictor variable, Manipulated variable, Explanatory variable, Exposure variable, Input variable. |
What is a Dependent Variable?
A dependent variable is an element in a study, research, or statistical model that depends on a specific independent variable. It is also known as the outcome variable since it is the outcome that the researchers seek and measure using an independent variable. It is an important input in defining the result of an experiment. A dependent variable is dynamic and therefore showcases the change, effect, impact, or influence of the change made in the independent variable.
A simple example of a dependent variable in a study will be the calories burnt in a workout session; here, the calories are a dependent variable because it depends on the workout, whereas the training itself is an independent variable and stands alone. Any change or manipulation in the activity, like time duration, type of exercise, amount of effort, etc., influences or changes the dependent variable.
What is an Independent Variable?
The independent variable is the standalone element in an experiment and does not respond to or depend on any other element. It represents the cause behind any change being measured or consequences in the research model. It is utilized to explore its impact, influence, and change reflected in or exhibited by the dependent variable.
For example, in an experiment to see how different types of food fed to a man affect his body and health, the food tried is categorized into healthy and unhealthy food. Here health is the dependent variable shaped by the independent variable, the food provided. It is clear that the human is the model or system in which both variables operate, and the analyst measures the output variable, health.
Dependent Variable vs Independent Variable – Infographics
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Source: Dependent Variable vs Independent Variable (wallstreetmojo.com)
Similarities
- Both variables change at almost the same time. So, plotting an independent variable vs dependent variable graph will not give a line perpendicular to the x-axis or y-axis.
- Both variables are not constants. For instance, in an independent variable vs dependent variable example from the retail sector, the value of retailers formed in the mind of consumers is a dependent variable that changes with independent variables like price, assortment, and convenience.
- Both are equally important in solving research problems. The dependent variable manifests the effect, and the independent variable represents the cause.
- An experimental investigation can have more than one dependent and independent variable.
Recommended Articles
This has been a Guide to what is dependent variable vs independent variable. We explain its differences, examples, & application in research & psychology. You can learn more about them from the following articles –
- Linear Regression
- Inferential Statistics
- Residual sum of squares
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